0
TECHNICAL PAPERS

Fuzzy-Chip-Based Control and Its Application to Adaptive Machining

[+] Author and Article Information
Xifan Yao

Department of Mechatronic Engineering, South China University of Technology, Guangzhou 510641, Chinae-mail: mexfyao@hotmail.com

J. Dyn. Sys., Meas., Control 125(1), 74-79 (Mar 10, 2003) (6 pages) doi:10.1115/1.1543156 History: Received February 01, 2000; Revised August 01, 2002; Online March 10, 2003
Copyright © 2003 by ASME
Your Session has timed out. Please sign back in to continue.

References

Lee,  C. C., 1990, “Fuzzy Logic in Control Systems: Fuzzy Logic Controller—Part I & Part II,” IEEE Trans. Syst. Man Cybern., 20(2), pp. 404–435.
Yen, J., Langari, R., and Zadeh, L. A., (eds.), 1995, Industrial Applications of Fuzzy Logic and Intelligent Systems, IEEE Press, New York.
Mamdani,  E., and Assilian,  S., 1975, “An Experiment in Linguistic Synthesis with a Fuzzy Logic Control,” Int. J. Man-Mach. Stud., 7(1), pp. 1–13.
Langari, R., and Tomizuka, M., 1988, “Fuzzy Linguistic Control of Arc Welding,” Sensors and Controls for Manufacturing, ASME Press, New York.
Mamdani, E., 1993, “Twenty Years of Fuzzy Control: Experiences Gained and Lessons Learnt,” Proc. of IEEE Int. Conf. on Fuzzy Systems, pp. 339–344.
Langari, R., and Yen, J., 1995, “Introduction to Fuzzy Logic Control,” Industrial Applications of Fuzzy Logic and Intelligent Systems, IEEE Press, New York, pp. 3–39.
Abramovitch,  D. Y., and Bushnell,  L. G., 1999, “Report on the Fuzzy versus Conventional Control Debate,” IEEE Control Syst. Mag., 19(3), pp. 88–91.
Reznik, L., 1997, Fuzzy Controllers, Newnes, Oxford.
Ralston,  P. A. S., and Word,  T. L., 1990, “Fuzzy Logic Control of Machining,” Manuf. Rev., 3(3), pp. 147–154.
Zhu,  J. Y., Shumsheruddin,  A. A., and Bollinger,  J. G., 1982, “Control of Machine Tools Using the Fuzzy Control Technique,” Ann. of CIRP, 31, pp. 347–352.
Sakai, Y., and Ohkusa, K., 1985, “A Fuzzy Controller in Turning Process Automation,” Industrial Applications of Fuzzy Control, Elservier Science Publishers B. V., Amsterdam, pp. 139–151.
Ralston, P. A. S., Word, T. L. and Lambert, L. M., 1988, “Simulation of Fuzzy Logic Control of a Lathe,” Symp. on Advanced Manufacturing, Lexington, KY, pp. 21–25.
Tarng,  Y. S., and Wang,  Y. S., 1993, “An Adaptive Fuzzy Control System for Turning Operations,” Int. J. Mach. Tools Manuf., 33(6), pp. 761–771.
Yeh,  Z. M., Tarng,  Y. S., and Nian,  C. Y., 1995, “A Self-Organizing Neural Fuzzy Logic Controller for Turning Operations,” Int. J. Mach. Tools Manuf., 35(10), pp. 1363–1374.
Fann, W. R., and Hsu., P. L., 1992, “Fuzzy Adaptive Control of Milling Process,” IFAC Workshop on Intelligent Manufacturing Systems, Dearborn, MI, pp. 88–92.
Tarng,  Y. S., and Cheng,  S. T., 1993, “Fuzzy Control of Feed rate in End Milling Operation,” Int. J. Mach. Tools Manuf., 33, pp. 643–650.
Chen,  T., Wang,  W., and Zhou,  Z., 1994, “Intelligent Control with Constraint in Milling Process,” J. South China Univ. Technol., Nat. Sci., 22(4), pp. 90–96.
Kim,  M. K., Cho,  M. W., and Kim,  K., 1994, “Application of the Fuzzy Control Strategy to Adaptive Force Control of Non-minimum Phase End Milling Operations,” Int. J. Mach. Tools Manuf., 34, pp. 677–696.
Hsu,  P. L., and Fann,  W. R., 1996, “Fuzzy Adaptive Control of Machining Process with a Self-Learning Algorithm,” ASME J. Manuf. Sci. Eng., 118, No. 4, pp. 522–529.
Shen,  L., 1997, “Fuzzy Logic Control ASIC Chip,” J. Comput. Sci. Technol., 12(3), pp. 263–270.
Shen, L., 1998, “Fuzzy Control Development System FDS1.1,” Institute of Computing Technology, Chinese Academy of Sciences, Beijing.
Yao, X., 1999, “Fuzzy and Neural Adaptive Control for Intelligent Machining Process,” Ph.D. dissertation, South China Univ. of Technology, Guangzhou, China.
Masory,  O., 1984, “Real-Time Estimation of Cutting Process Parameters in Turning,” ASME J. Eng. Ind., 106(3), pp. 218–221.
Masory,  O., and Koren,  Y., 1985, “Stability of Analysis of a Constant Force Adaptive Control System for Turning,” ASME J. Eng. Ind., 107(4), pp. 295–299.
Koren, Y., 1983, Computer Control of Manufacturing System, McGraw-Hill, New York.
Chang,  Y. F., and Chen,  B. S., 1988, “The VSS Controller Design and Implementation for the Constant Turning Force Adaptive Control System,” Int. J. Mach. Tools Manuf., 28(4), pp. 373–387.
Lauderbaugh,  L. K., and Ulsoy,  A. G., 1988, “Dynamic Modeling for Control of the Milling Process,” ASME J. Eng. Ind., 110(4), pp. 367–375.

Figures

Grahic Jump Location
Block diagram of the fuzzy chip 100
Grahic Jump Location
Fuzzy-chip-based regular control
Grahic Jump Location
Membership function of E
Grahic Jump Location
Fuzzy-chip-based self-tuning control
Grahic Jump Location
Membership function of H
Grahic Jump Location
Model for machining process
Grahic Jump Location
Simulation results: a) FCBRC, b) FCBSTC, c) workpiece
Grahic Jump Location
Diagram of the experimental set-up for milling control
Grahic Jump Location
Picture of the experimental set-up
Grahic Jump Location
Experimental results of FCBRC (Fr=300 N, cutter dia.=12 mm, KE=0.63, KCE=0.7875, KU=0.006)
Grahic Jump Location
Experimental results of FCBRC (Fr=400 N, cutter dia.=20 mm, KE=0.63, KCE=0.7875,KU=0.006)
Grahic Jump Location
Experimental results of FCBSTC (KE=0.7875,KCE=1.05,KU=0.001)

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In